The modeling and quantization method called INT8 ConvRot, which was natively supported in ComfyUI v0.27.0 released on July 1, 2026, is a hot topic.
It is particularly beneficial for the GeForce RTX 20/30 series, but it has also been reported to provide performance exceeding the previously standard FP8 and FP8 Scaled formats on the GeForce RTX 40/50 series as well.
Because of this, it is said that INT8 ConvRot will become the standard for all 8-bit quantized models, and support is actually being advanced by Comfy-Org.
Since information has not yet spread widely and many people are misunderstanding or confusing it, I will organize and explain it in this article.
2026/7/7: Added that Forge Neo now supports INT8 ConvRot
2026/7/6: Added information regarding Kimama-san's INT8 ConvRot evaluation results
2026/7/5: Added information about GGUF in "Classification of Modeling Methods and Formats"
2026/7/5: Added information about Triton and PyTorch in "How to use INT8 ConvRot"
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